The rapidly increasing demands on computational throughput, bandwidth and memory capacity fuelled by breakthroughs in machine learning pose substantial challenges for conventional electronic computing ...

Richard Feynman, the iconic physicist and one of the progenitors of quantum computing, famously said in 1981: “Nature isn’t classical, dammit, and if you want to make a simulation of nature, you’d ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

Optical neuromorphic computing utilizes light-based neural networks for efficient AI processing. Conventional optoelectronic synapses are limited by single-dimensional perception and electrical weight ...

Neel Somani, a researcher and technologist with a strong foundation in computer science from the University of California, Berkeley, focuses on advancements of distributed computing across personal ...